From: Benjamin Auder <benjamin.auder@somewhere>
Date: Tue, 7 Apr 2020 14:11:19 +0000 (+0200)
Subject: Update README and package DESCRIPTION
X-Git-Url: https://git.auder.net/variants/current/css/rpsls.css?a=commitdiff_plain;h=d57c255b4a437a5e9afb4ff1b939282944c18eb5;p=valse.git

Update README and package DESCRIPTION
---

diff --git a/README.md b/README.md
index ef9aa92..fbf7893 100644
--- a/README.md
+++ b/README.md
@@ -1,17 +1,9 @@
 # VAriable seLection with mixtureS of modEls
 
-With [Emilie Devijver](http://ama.liglab.fr/~devijver/) and [Benjamin Gohehry](https://fr.linkedin.com/in/benjamin-goehry-275276124).
+With [Emilie Devijver](http://ama.liglab.fr/~devijver/).
 
 Re-writing from [a similar project](https://github.com/yagu0/select) in MATLAB, which
-corresponds to applied parts of the PhD thesis of both co-authors.
+corresponds to applied parts of the PhD thesis of Emilie.
 
-This git repo uses [git-fat](https://github.com/jedbrown/git-fat) to store binary objects. "git fat init && git fat pull" will get them.
-
-## Description
-
-TODO : see R package
-
-Trouver un jeu de données (+) intéressant (que les autres) ?
-Ajouter toy datasets pour les tests (ou piocher dans MASS ?)
-
-ED : j'ai simulé un truc basique via 'generateXYdefault(10,5,6,2)'
+This git repo uses [git-fat](https://github.com/jedbrown/git-fat) to store binary objects.
+"git fat init && git fat pull" will get them.
diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION
index 77812ed..ac46366 100644
--- a/pkg/DESCRIPTION
+++ b/pkg/DESCRIPTION
@@ -13,7 +13,7 @@ Description: Two methods are implemented to cluster data with finite mixture
     Emilie Devijver, published in Advances in Data Analysis and Clustering (2016).
 Author: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr> [aut,cre],
     Emilie Devijver <Emilie.Devijver@kuleuven.be> [aut],
-    Benjamin Goehry <Benjamin.Goehry@math.u-psud.fr> [aut]
+    Benjamin Goehry <Benjamin.Goehry@math.u-psud.fr> [ctb]
 Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
 Depends:
     R (>= 3.5.0)